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Recent progress on methods for estimating and updating large phylogenies.
Zaharias, Paul; Warnow, Tandy.
Afiliação
  • Zaharias P; Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
  • Warnow T; Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Philos Trans R Soc Lond B Biol Sci ; 377(1861): 20210244, 2022 10 10.
Article em En | MEDLINE | ID: mdl-35989607
ABSTRACT
With the increased availability of sequence data and even of fully sequenced and assembled genomes, phylogeny estimation of very large trees (even of hundreds of thousands of sequences) is now a goal for some biologists. Yet, the construction of these phylogenies is a complex pipeline presenting analytical and computational challenges, especially when the number of sequences is very large. In the past few years, new methods have been developed that aim to enable highly accurate phylogeny estimations on these large datasets, including divide-and-conquer techniques for multiple sequence alignment and/or tree estimation, methods that can estimate species trees from multi-locus datasets while addressing heterogeneity due to biological processes (e.g. incomplete lineage sorting and gene duplication and loss), and methods to add sequences into large gene trees or species trees. Here we present some of these recent advances and discuss opportunities for future improvements. This article is part of a discussion meeting issue 'Genomic population structures of microbial pathogens'.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Duplicação Gênica / Genômica Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Duplicação Gênica / Genômica Idioma: En Ano de publicação: 2022 Tipo de documento: Article